Yong Liu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Yong Liu has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Chengjun Wang
School of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China
1 shared publication - Meng Chen
Tsinghua University, Haidian, Beijing 100084, China
1 shared publication - Miao-Miao Fan
Beijing University of Technology, Chaoyang, Beijing 100124, China
1 shared publication - Tao Feng
College of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China
1 shared publication - Zhi Li
California State University San Bernardino, 5500 University Pkwy, San Bernardino, CA 92407, USA
1 shared publication
Latest Publications
- Open Access
- 11 December 2019
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 16 (24) , 5059
A New Analytic Model to Identify Lead Pollution Sources in Soil Based on Lead Fingerprint
Gobeil’s model is one of the most widely used models to identify lead (Pb) pollution sources in the environment. It is based on a set of equations involving Pb isotope fractions. Although a well-established numerical method, Gobeil’s model is often unable to provide an accurate estimation of each pollution sources’ contribution. This paper comprehensively examines the drawbacks of Gobeil’s model based on a numerical analysis and proposes a revised numerical method that provides a more accurate estimation of Pb pollution sources. Briefly, the mathematical inaccuracy of Gobeil’s model mainly lies in the misinterpretation of “lead fingerprint ratio balance.” To address this problem, the new analytic model relies on the mass balance of total lead in the contaminated sites, and uses a set of linear equations to obtain the contribution of each pollution source based on the lead fingerprint. A subsequent case study from an industrial park in Guanzhong area of Shaanxi Province in China shows that we can calculate the lead contribution rates accurately with the new model.
- 11 December 2019
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 16 (24) , 5059
Open AccessA New Analytic Model to Identify Lead Pollution Sources in Soil Based on Lead Fingerprint
Gobeil’s model is one of the most widely used models to identify lead (Pb) pollution sources in the environment. It is based on a set of equations involving Pb isotope fractions. Although a well-established numerical method, Gobeil’s model is often unable to provide an accurate estimation of each pollution sources’ contribution. This paper comprehensively examines the drawbacks of Gobeil’s model based on a numerical analysis and proposes a revised numerical method that provides a more accurate estimation of Pb pollution sources. Briefly, the mathematical inaccuracy of Gobeil’s model mainly lies in the misinterpretation of “lead fingerprint ratio balance.” To address this problem, the new analytic model relies on the mass balance of total lead in the contaminated sites, and uses a set of linear equations to obtain the contribution of each pollution source based on the lead fingerprint. A subsequent case study from an industrial park in Guanzhong area of Shaanxi Province in China shows that we can calculate the lead contribution rates accurately with the new model.